code: def forward(self, x):
      h = self.linear(x)
      if self.activation is not None:
          h = self.activation(h)
  
      return h
  
imports: import logging
  import os
  from typing import List
  import numpy
  import torch
  import torch.nn
  from pythae.data.preprocessors import DataProcessor
  from pythae.models import VAMP, AutoModel, VAMPConfig
  from pythae.models.base.base_utils import ModelOutput
  from pythae.models.nn import BaseDecoder, BaseEncoder
  from pythae.trainers import BaseTrainer, BaseTrainerConfig
label_desc: Use image node_id 2 for calling the NonLinear obj's underlying member method code with example usage: obj.forward(x) and returns: h